86 citations · 97 across the 3 of their papers we have counts for
4 papers
Re-evaluating the need for Modelling Term-Dependence in Text Classification Problems
Sounak Banerjee, Prasenjit Majumder, Mandar Mitra
A substantial amount of research has been carried out in developing machine learning algorithms that account for term dependence in text classification. These algorithms offer acce…
Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval
Dwaipayan Roy, Debasis Ganguly, Mandar Mitra +1
A major difficulty in applying word vector embeddings in IR is in devising an effective and efficient strategy for obtaining representations of compound units of text, such as whol…
Using Word Embeddings for Automatic Query Expansion
Dwaipayan Roy, Debjyoti Paul, Mandar Mitra +1
In this paper a framework for Automatic Query Expansion (AQE) is proposed using distributed neural language model word2vec. Using semantic and contextual relation in a distributed…
Query Expansion Using Term Distribution and Term Association
Dipasree Pal, Mandar Mitra, Kalyankumar Datta
Good term selection is an important issue for an automatic query expansion (AQE) technique. AQE techniques that select expansion terms from the target corpus usually do so in one o…